Also, I think it'd be great to set your defaults assumptions for a stock to breakeven pricing, and allow users to adjust from there.
I see a tool like this being useful, but I think positioning it as a deep valuation tool is much less useful in the mindsphere of investors as an elite pen and napkin, which I think people would use.
Do such models even exist? As far as I know NN are only good at function approximation. Why do we think that the market evolves according to a mathematical function? To me, financial markets seem chaotic in nature.
But the noble thing to do is to stop luring people into these wealth-gap increasing casinos.
... But with one year lag.
If you look at the Price Targets for many "growth stocks", you'll see that professional analysts struggle with this as much as anyone.
Even for stocks with predictable profit models like resource extraction companies, it can be near useless because as soon as some external catalyst people didn't expect comes along triggers the commodity price to change significantly, the DCF valuation goes out the window.
IMO DCF is more useful for sensitivity analysis than actually valuing a business in some "accurate way".
All that being said -- it is definitely valuable to understand where price targets come from!
The models that make the big bucks are the ones that ingest a ton of other external data to predict the numbers that go in the data entry cells here. And yeah, those don’t get posted online for free.